Name: Rahul Ambaragonda

Job Role: Financial Data Analyst

Experience: 4 Years

Address: Pittsburgh, PA

Skills

Financial Modeling 90%
Python & SQL 85%
Power BI & Tableau 85%
Risk Analytics 80%
Statistical Modeling 85%
Corporate Finance 75%

About

About Me

Results-driven Financial Data Analyst with 4+ years of experience transforming complex financial datasets into strategic insights. Proven success in developing financial risk detection tools, dynamic forecasting models, and executive dashboards to drive strategic initiatives in banking and fintech environments.

  • Profile: Financial Data Analyst & Risk Specialist
  • Domain: Banking, Fintech, Financial Services
  • Education: Master's in Information Technology - Project Management
  • Language: English, Telugu
  • Technical Skills: Python, SQL, Power BI, Tableau, Excel
  • Financial Skills: Financial Modeling, Risk Analytics, Forecasting, Valuation
  • Interest: Financial Markets, Data Visualization, Mentoring

0 +   Projects completed

LinkedIn

Resume

Resume

Financial Data Analyst with expertise in Python, SQL, Power BI, and financial modeling. Experienced in risk analytics, forecasting, and delivering data-driven insights for strategic decision-making.

Experience


AUG 2024-Present

Financial Data Analyst – Risk & Holdings

FactSet Research Systems

  • Developed and maintained sophisticated financial data models and dynamic Power BI dashboards using DAX and SQL, enabling leadership to monitor KPIs and make strategic decisions that improved operational efficiency by 15%.
  • Designed and implemented machine learning-based anomaly detection systems using XGBoost and Isolation Forest to identify irregular financial transactions and risk patterns, reducing compliance alert review time by 35%.
  • Automated and optimized complex financial reporting workflows by integrating multi-source data using Python and SQL, cutting manual report preparation time by 40% and improving data accuracy.
  • Built predictive financial forecasting models leveraging historical data and advanced statistical techniques, increasing forecast accuracy by 20% and supporting data-driven budgeting.
  • May 2020-Jul 2023

    Financial Analyst

    Mahindra Finance (India)
    • Improved financial reporting by aligning practices with GAAP and IFRS standards, automating journal entries, and streamlining accounting workflows, reducing month-end close time.
    • Enhanced deal analysis accuracy by building LBO waterfall valuations and dynamic cash flow models in Bloomberg, enabling corporate finance teams to assess M&A scenarios 25% faster.
    • Accelerated investment pitch preparation by integrating Pitchbook data, performing comps analysis, and automating models in Excel, cutting turnaround time by 30%.
    • Optimized cash management by designing robust cash flow models and aligning corporate finance strategies with risk controls, improving budgeting precision by 18%.



    Education


    2023-2025

    Master's in Information Technology

    Indiana Wesleyan University

    Focus: Project Management
    Grade: First class distinction.

    2019-2022

    Bachelor of Science

    Chaitanya Degree College

    Focus: Statistics, Computer Science, Financial Mathematics
    Grade: First class distinction.

    Projects

    Projects

    Below are sample projects showcasing my financial data analysis and modeling capabilities.

    Credit Card Fraud Detection System

    Built a fraud detection model using Random Forest (284K+ transactions) with 98.7% precision and 79.6% recall.

    Financial Risk & PnL Attribution Dashboard

    Designed financial dashboards in Power BI to attribute PnL by trader, asset class, strategy, and time range.

    Openly Real-Time Catastrophe Impact Simulator

    The Openly Real-Time Catastrophe Impact Simulator is an open-source analytics platform designed for insurance risk managers, actuaries, and finance teams.

    0 Certifications
    0 Projects
    0 Financial Models
    0 Dashboards

    More projects on GitHub

    I specialize in financial data analysis, modeling, and visualization


    GitHub

    Contact

    Contact Me

    Below are the details to reach out to me!

    Address

    Pittsburgh, PA

    Contact Number

    +1 (724) 400-3908

    LinkedIn

    LinkedIn Profile



    Have a Question? Click Here